Neural networks are advanced computational models inspired by the structure of the human brain. They consist of interconnected layers of artificial neurons that process information, learn patterns, and make decisions. By analyzing large datasets, neural networks can recognize images, understand speech, translate languages, and make predictions with high accuracy. They are widely used in artificial intelligence applications such as autonomous vehicles, medical diagnostics, recommendation systems, and fraud detection. Their ability to learn and improve over time makes them essential for solving complex problems and powering modern AI technologies across various industries.